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Capgemini

Global consulting, technology services, outsourcing

Forward Deployed Engineer - Fde, Applied AI

AI Application EngineeringUpdated on Nov 14
Full-time

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Five years of experience with software development using Python or similar coding languages.
  • Experience architecting AI systems on cloud platforms such as Google Cloud Platform.
  • Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
  • Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.

Responsibilities

  • Serve as the lead developer for complex Conversational AI and customer experience applications, transitioning rapid prototypes to production-grade agentic workflows such as multi-agent systems and Model Context Protocol servers.
  • Architect and code conversational flows connecting Google's Conversational AI products with customers' live infrastructure, including APIs, legacy data silos, and security perimeters.
  • Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, including reasoning loops, tool selection, latency, production security, and networking.
  • Connect agents to enterprise knowledge bases and optimize retrieval-augmented generation chunking to prevent hallucinations.
  • Build solutions that interact with enterprise IT infrastructures and support external customer projects.
  • Identify repeatable field patterns and technical friction points in Google's Applied AI stack and convert them into reusable modules or product feature requests for engineering teams.
  • Co-build with customer engineering teams to establish development best practices and support long-term project success and end-user adoption.
  • Troubleshoot live, high-traffic systems during critical windows.
  • Lead technical delivery for Conversational AI pilots and customer-facing implementations.

Desired Qualifications

  • A master's or PhD in Artificial Intelligence, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks such as ReAct and self-reflection.
  • Experience debugging agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real time.
  • Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented generation chunking to prevent hallucinations.
  • A track record of troubleshooting live, high-traffic systems during critical windows.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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